欢迎访问《中国农学通报》，
中国农学通报

中国农学通报 ›› 2014, Vol. 30 ›› Issue (7): 156-161.doi: 10.11924/j.issn.1000-6850.2013-1966

所属专题： 农业气象

• 林学 园艺 园林 • 上一篇    下一篇

高寒冷凉地区日光温室温度变化规律研究

朱宝文 胡德奎 赵年武 余学英 何永晴   

  • 收稿日期:2013-07-18 修回日期:2013-08-29 出版日期:2014-03-05 发布日期:2014-03-05
  • 基金资助:
    青海省气象局气象科研重点项目“冬暖式日光温室环境气象保障关键技术集成应用”(20130079)；西宁市农业气象服务开放基金项目“设施内主要气象要素预报及小气候调控技术”(2012003)。

Research on the Temperature Variation in Greenhouse in Alpine Cold Regions

  • Received:2013-07-18 Revised:2013-08-29 Online:2014-03-05 Published:2014-03-05

PDF (PC)

641

摘要： 为了探明高寒冷凉地区日光温室内温度变化特征，预报温室内温度变化规律，调控温室内温度高低提供依据，利用2012年10月—2013年5月大通县国家现代农业示范园区节能日光温室内外温度及大通县气象观测资料，分析高寒冷凉地区不同天气类型下日光温室温度变化规律。结果表明，高寒冷凉地区试验期间温室内平均温度日变化和秋、冬、春3季温度日变化均表现为典型的“单峰”型。晴天温度最低值出现在08时，多云和阴天推迟1 h；室内温度最大值：晴天＞多云＞阴天，最小值：阴天＞多云＞晴天，导致日较差：晴天＞多云＞阴天，不同季节室内温度日变化有所不同；不同天气类型温室内外各时次、日平均以及最大值、最小值间相关性表现为：阴天＞多云＞晴天，相关系数夜间均大于白天，最低温度在不同天气类型相关性均较高，最高温度晴天、多云天两者相关性不明显，阴天相关性较高；冬季温室内外温差较大，增温效果显著。

关键词: 模式, 模式

Abstract: In order to ascertain the temperature variation in greenhouse in alpine cold region, forecast greenhouse temperature variation, the level of regulation of greenhouse temperature to provide a basis. Using the daylight saving temperature and indoor and outdoor temperature and meteorological data in Datong County from October 2012 to 2013 May in Datong National Modern Agriculture Demonstration Zone, the author analyzed the greenhouse temperature variation in alpine cold regions under different weather types. The results showed that: the average temperature in alpine cold region during the test greenhouse diurnal and autumn, winter and spring temperatures in Q3 showed a typical diurnal variation of the ‘single peak’ type. Clear Temperature lowest in 08:00, cloudy and overcast delayed 1 h; indoor temperature max: sunny>cloudy>overcast, minimum: cloudy>overcast>sunny, cause diurnal: sunny>cloudy>overcast, diurnal variation of indoor temperature in different seasons were different; different types of weather when times inside and outside the greenhouse, the average and maximum, minimum correlation between performance: cloudy>overcast>sunny, correlation coefficients were greater than during the day and at night, minimum temperature in different weather types were high correlations, maximum temperature sunny, cloudy days had no obvious correlation between the two, cloudy had a high correlation; larger temperature difference between inside and outside the greenhouse in winter, warming effect was remarkable.